When meteorologists predict the weather for the next week, they take countless variables into account and even with extreme localization are barely more accurate than a coin toss
But trying the predict the weather on a global scale 20 years from now? Cake walk! Only 1 variable matters - CO2 levels - and if you say the prediction is anything less than 100% accurate then you are an uneducated, science denying idiot
Averages are fine if you have a rather large data set with few outliers or if you're dealing with qualitative data (e.g. coins found in a parking lot).
When meteorologists predict the weather for the next week, they take countless variables into account and even with extreme localization are barely more accurate than a coin toss
But trying the predict the weather on a global scale 20 years from now? Cake walk! Only 1 variable matters - CO2 levels - and if you say the prediction is anything less than 100% accurate then you are an uneducated, science denying idiot
Averages are prone to inaccuracy from outlier data and should never be used for statistical analysis.
Averages are fine if you have a rather large data set with few outliers or if you're dealing with qualitative data (e.g. coins found in a parking lot).